# flux/dev/image-to-image {% columns %} {% column width="66.66666666666666%" %} {% hint style="info" %} This documentation is valid for the following list of our models: * `flux/dev/image-to-image` {% endhint %} {% endcolumn %} {% column width="33.33333333333334%" %} Try in Playground {% endcolumn %} {% endcolumns %} ## Model Overview A state-of-the-art image generation model that utilizes a 12 billion parameter rectified flow transformer architecture. It is designed to generate high-quality images from textual descriptions, making it a powerful tool for developers and creatives.
ModelGenerated image properties
flux/dev/image-to-imageFormat: PNG
Fixed size: Matches the dimensions of the reference image.
## Setup your API Key If you don’t have an API key for the AI/ML API yet, feel free to use our [Quickstart guide](https://docs.aimlapi.com/quickstart/setting-up). ## API Schema ## POST /v1/images/generations > ```json {"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v1/images/generations":{"post":{"operationId":"_v1_images_generations","requestBody":{"required":true,"content":{"application/json":{"schema":{"type":"object","properties":{"model":{"type":"string","enum":["flux/dev/image-to-image"]},"prompt":{"type":"string","maxLength":4000,"description":"The text prompt describing the content, style, or composition of the image to be generated."},"num_images":{"type":"number","minimum":1,"maximum":4,"default":1,"description":"The number of images to generate."},"seed":{"type":"integer","minimum":1,"description":"The same seed and the same prompt given to the same version of the model will output the same image every time."},"guidance_scale":{"type":"number","minimum":1,"maximum":20,"description":"The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you."},"num_inference_steps":{"type":"integer","minimum":1,"maximum":50,"default":50,"description":"The number of inference steps to perform."},"enable_safety_checker":{"type":"boolean","default":true,"description":"If set to True, the safety checker will be enabled."},"image_url":{"type":"string","format":"uri","description":"The URL of the reference image."},"strength":{"type":"number","default":0.95,"description":"Determines how much the prompt influences the generated image."}},"required":["model","prompt","image_url"],"title":"flux/dev/image-to-image"}}}},"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"data":{"type":"array","nullable":true,"items":{"type":"object","properties":{"url":{"type":"string","nullable":true,"description":"The URL where the file can be downloaded from."},"b64_json":{"type":"string","nullable":true,"description":"The base64-encoded JSON of the generated image."}}},"description":"The list of generated images."},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"credits_used":{"type":"number","description":"The number of tokens consumed during generation."}},"required":["credits_used"]}},"description":"Additional details about the generation."}}}}}}}}}}} ``` ## Quick Example Let's generate a new image using the one from the [flux/dev Quick Example](https://docs.aimlapi.com/api-references/image-models/flux-dev#quick-example) as a reference — and make a simple change to it with a prompt. {% tabs %} {% tab title="Python" %} {% code overflow="wrap" %} ```python import requests import json # for getting a structured output with indentation def main(): response = requests.post( "https://api.aimlapi.com/v1/images/generations", headers={ # Insert your AIML API Key instead of : "Authorization": "Bearer ", "Content-Type": "application/json", }, json={ "model": "flux/dev/image-to-image", "prompt": "Add a bird to the foreground of the photo.", "image_url": "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/t-rex.png", "strength": 0.8 } ) data = response.json() print(json.dumps(data, indent=2, ensure_ascii=False)) if __name__ == "__main__": main() ``` {% endcode %} {% endtab %} {% tab title="JS" %} {% code overflow="wrap" %} ```javascript async function main() { const response = await fetch('https://api.aimlapi.com/v1/images/generations', { method: 'POST', headers: { // Insert your AIML API Key instead of : 'Authorization': 'Bearer ', 'Content-Type': 'application/json', }, body: JSON.stringify({ model: 'flux/dev/image-to-image', prompt: 'A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.', image_url: 'https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/t-rex.png', strength: 0.8, }), }); const data = await response.json(); console.log(data); } main(); ``` {% endcode %} {% endtab %} {% endtabs %}
Response {% code overflow="wrap" %} ```json5 { images: [ { url: 'https://cdn.aimlapi.com/eagle/files/elephant/RmRsL9NMW_kkRy6MemjZJ_ac9897dd871842e2a689b8bc24b4bf08.jpg', width: 1472, height: 512, content_type: 'image/jpeg' } ], timings: { inference: 4.4450759180035675 }, seed: 3082066483, has_nsfw_concepts: [ false ], prompt: 'A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.' } ``` {% endcode %}
| Reference Image | Generated Image | | ------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- | | ![](https://cdn.aimlapi.com/eagle/files/monkey/GHx5aT0PR9GXtGi3Cx7CE.png) | | --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.aimlapi.com/api-references/image-models/flux/flux-dev-image-to-image.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.